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Sensors 2017, 17(2), 323; doi:10.3390/s17020323

BeiDou Signal Acquisition with Neumann–Hoffman Code Modulation in a Degraded Channel

Harbin Engineering University, College of Automation, Harbin 150001, China
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Received: 7 December 2016 / Revised: 19 January 2017 / Accepted: 19 January 2017 / Published: 9 February 2017
(This article belongs to the Section Remote Sensors)
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Abstract

With the modernization of global navigation satellite systems (GNSS), secondary codes, also known as the Neumann–Hoffman (NH) codes, are modulated on the satellite signal to obtain a better positioning performance. However, this leads to an attenuation of the acquisition sensitivity of classic integration algorithms because of the frequent bit transitions that refer to the NH codes. Taking weak BeiDou navigation satellite system (BDS) signals as objects, the present study analyzes the side effect of NH codes on acquisition in detail and derives a straightforward formula, which indicates that bit transitions decrease the frequency accuracy. To meet the requirement of carrier-tracking loop initialization, a frequency recalculation algorithm is proposed based on verified fast Fourier transform (FFT) to mitigate the effect, meanwhile, the starting point of NH codes is found. Then, a differential correction is utilized to improve the acquisition accuracy of code phase. Monte Carlo simulations and real BDS data tests demonstrate that the new structure is superior to the conventional algorithms both in detection probability and frequency accuracy in a degraded channel. View Full-Text
Keywords: BeiDou; acquisition; bit transition; differential coherent integration BeiDou; acquisition; bit transition; differential coherent integration
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zhao, L.; Liu, A.; Ding, J.; Wang, J. BeiDou Signal Acquisition with Neumann–Hoffman Code Modulation in a Degraded Channel. Sensors 2017, 17, 323.

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